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Workshop
From Local to Global: Spectral-Inspired Graph Neural Networks
Ningyuan Huang · Soledad Villar · Carey E Priebe · Da Zheng · Chengyue Huang · Lin Yang · Vladimir Braverman
Poster
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
Lei Li · Nicolas Donati · Maks Ovsjanikov
Poster
Wed 9:00 Beyond spectral gap: the role of the topology in decentralized learning
Thijs Vogels · Hadrien Hendrikx · Martin Jaggi
Poster
Wed 9:00 Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
Shubham Gupta · Ambedkar Dukkipati
Poster
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
Nian Liu · Xiao Wang · Deyu Bo · Chuan Shi · Jian Pei
Poster
Wed 14:00 SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery
Yezhen Cong · Samar Khanna · Chenlin Meng · Patrick Liu · Erik Rozi · Yutong He · Marshall Burke · David Lobell · Stefano Ermon
Poster
Tue 14:00 Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Sara Fridovich-Keil · Brian Bartoldson · James Diffenderfer · Bhavya Kailkhura · Timo Bremer
Poster
Tue 14:00 Efficient Training of Low-Curvature Neural Networks
Suraj Srinivas · Kyle Matoba · Himabindu Lakkaraju · François Fleuret
Poster
Tue 9:00 Spectral Bias in Practice: The Role of Function Frequency in Generalization
Sara Fridovich-Keil · Raphael Gontijo Lopes · Rebecca Roelofs
Poster
Wed 14:00 On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels
Amnon Geifman · Meirav Galun · David Jacobs · Basri Ronen
Poster
Thu 14:00 Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
Benjamin Bowman · Guido Montufar
Poster
Tue 14:00 Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero · Yann LeCun